Hypothesis Testing Lecture (Elementary Statistics Module) In this Hypothesis Testing lecture, we begin the study how to do different hypothesis testing in statistics. More details of this lecture objectives you may find bellow: Here are the lecture objectives: Basics of Hypothesis Testing Develop the ability to identify the null and alternative hypotheses when given some claim about a population parameter (such as a proportion, mean, standard deviation, or variance) Develop the ability to calculate a test statistic, find critical values, calculate P-values, and state a final conclusion that addresses the original claim. Testing a Claim About a Proportion Develop the ability to use sample data to conduct a formal hypothesis test of a claim about a population proportion. Testing a Claim About a Mean Develop the ability to use sample data to conduct a formal hypothesis test of a claim made about a population mean. Testing a Claim About a Standard Deviation or Variance Develop the ability to use sample data to conduct a formal hypothesis test of a claim made about a population standard deviation or variance. By purchasing this teaching resources, you will get: Hypothesis Testing Lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Hypothesis Testing. Test bank to Hypothesis Testing with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store!

Test Bank for Statistical Process Control (Elementary Statistics Module) Test Bank for Statistical Process Control with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file, you will get: One word file with 3 variants of test bank for Statistical Process Control with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Nonparametric Tests (Elementary Statistics Module) Test Bank for Nonparametric Tests with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file, you will get: One word file with 3 variants of test bank for Nonparametric Tests with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Analysis of Variance (Elementary Statistics Module) Test Bank for Analysis of Variance with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file, you will get: One word file with 3 variants of test bank for Analysis of Variance with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Goodness-of-Fit and Contingency Tables (Elementary Statistics Module) Test Bank for Goodness-of-Fit and Contingency Tables with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file you will get: One word file with 3 variants of test bank for Goodness-of-Fit and Contingency Tables with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Correlation and Regression (Elementary Statistics Module) Test Bank for Correlation and Regression with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file you will get: One word file with 3 variants of test bank for Correlation and Regression with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Inferences from Two Samples (Elementary Statistics Module) Test Bank for Inferences from Two Samples with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file you will get: One word file with 3 variants of test bank for Inferences from Two Samples with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Hypothesis Testing (Elementary Statistics Module) Test Bank for Hypothesis Testing with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file you will get: One word file with 3 variants of test banks with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Test Bank for Estimating Parameters and Determining Sample Sizes (Elementary Statistics Module) Test bank to Estimating Parameters and Determining Sample Sizes with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them. By purchasing this file you will get: One word file with 3 variants of test banks with 20 questions each. All questions are different. All answers are included. Instant download after payment.

Estimating Parameters and Determining Sample Sizes Lecture (Elementary Statistics Module) In this lecture we begin the study of methods of inferential statistics. The following are the major activities of inferential statistics, and this lecture introduces methods for the first activity of using sample data to estimate population parameters. Major Activities of Inferential Statistics Use sample data to estimate values of population parameters (such as a population proportion or population mean). Use sample data to test hypotheses (or claims) made about population parameters. Here are the lecture objectives: Estimating a Population Proportion • Construct a confidence interval estimate of a population proportion and interpret such confidence interval estimates. • Identify the requirements necessary for the procedure that is used, and determine whether those requirements are satisfied. • Develop the ability to determine the sample size necessary to estimate a population proportion. Estimating a Population Mean • Construct a confidence interval estimate of a population mean, and be able to interpret such confidence interval estimates. • Determine the sample size necessary to estimate a population mean. Estimating a Population Standard Deviation or Variance • Develop the ability to construct a confidence interval estimate of a population standard deviation or variance, and be able to interpret such confidence interval estimates. Bootstrapping: Using Technology for Estimates • Develop the ability to use technology along with the bootstrapping method to construct a confidence interval estimate of a population proportion, population mean, and population standard deviation and population variance. By purchasing this teaching resources, you will get: Estimating Parameters and Determining Sample Sizes Lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Estimating Parameters and Determining Sample Sizes. Test bank to Estimating Parameters and Determining Sample Sizes with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store!

Normal Probability Distributions Lecture (Elementary Statistics Module) In this lecture we introduce continuous probability distributions, and most of this lecture focuses on normal distributions. Here are the lecture objectives: The Standard Normal Distribution • Describe the characteristics of a standard normal distribution. • Find the probability of some range of z values in a standard normal distribution. • Find z scores corresponding to regions under the curve representing a standard normal distribution. Real Applications of Normal Distributions • Develop the ability to describe a normal distribution (not necessarily a standard normal distribution). • Find the probability of some range of values in a normal distribution. • Find x scores corresponding to regions under the curve representing a normal distribution. Sampling Distributions and Estimators • Develop the ability to describe a sampling distribution of a statistic. • Determine whether a statistic serves as a good estimator of the corresponding population parameter. The Central Limit Theorem • Describe what the central limit theorem states. • Apply the central limit theorem by finding the probability that a sample mean falls within some specified range of values. • Identify conditions for which it is appropriate to use a normal distribution for the distribution of sample means. Assessing Normality • Develop the ability to examine histograms, outliers, and normal quanile plots to determine whether sample data appear to be from a population having a distribution that is approximately normal. Normal as Approximation to Binomial • Identify conditions for which it is appropriate to use a normal distribution as an approximation to a binomial brobability distribution. • Use the normal distribution for approximating probabilities for a binomial distribution By purchasing this teaching resources, you will get: Normal Probability Distributions Lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Normal Probability Distributions. Test bank to Normal Probability Distributions with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store!

Probability Distributions Lecture (Elementary Statistics Module) This is a lecture which is covered during Elementary Statistics Module with students who just started to learn Statistics. The main objective of this chapter is to cover Probability Distribution, Binominal Probability Distribution as well as Poisson Probability distribution. More details of the lecture agenda could be found bellow. Agenda of Introduction to Statistics Lecture is as following: Probability Distribution Define random variable and probability distribution. Determine when a potential probability distribution actually satisfies the necessary requirements. Given a probability distribution, compute the mean and standard deviation, then use those results to determine whether results are significantly low or significantly high. Binominal Probability Distributions Describe a binominal probability distribution and find probability values for a binominal distribution. Compute the mean and standard deviation for a binominal distribution, then use those results to determine whether results are significantly low or significantly high. Poisson Probability Distributions Describe a Poisson probability distribution and find probability values for a Poisson distribution. By purchasing this teaching resources, you will get: Probability Distributions Lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Probability Distributions. Test bank to Probability Distributions with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store!

Probability Lecture (Elementary Statistics Module) This is a lecture which is covered during Elementary Statistics Module with students who just started to learn Statistics. The main objective of this chapter is to develop a sound understanding of probability values, because those values constitute the underlying foundation on which methods of inferential statistics are built. The important methods of hypothesis testing commonly use P-values, which are probability values expressed as numbers between 0 and 1, inclusive. Smaller probability values, such as 0.01, correspond to events that are very unlikely. Larger probability values, such as 0.99, correspond to events that are very likely. Agenda of Introduction to Statistics Lecture is as following: Basic Concepts of Probability • Identify probabilities as values between 0 and 1, and interpret those values as expressions of likelihood of events. • Develop the ability to calculate probabilities of events. • Define the complement of an event and calculate the probability of that complement. Addition Rule and Multiplication Rule • Develop the ability to calculate the probability that in a single trial, some event A occurs pr some event B occurs or they both occur. Apply the addition rule by correctly adjusting for events that are not disjoint. • Develop the ability to calculate the probability of an event A occurring in a first trial and an event B occurring in a second trial. Apply the multiplication rule by adjusting for events that are not independent. • Distinguish between independent events and dependent events Complements, Conditional Probability, and Bayes` Theorem • Compute the probability of “at least one” occurrence of an event A. • Apply the multiplication rule by computing the probability of some event, given that some other event has already occurred. Counting • Develop the ability to apply the fundamental counting rule, factorial rule, permutations rule, and combinations rule. • Distinguish between circumstances requiring the permutations rule and those requiring the combinations rule. By purchasing this teaching resources, you will get: Probability Lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Probability. Test bank to Probability with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store! You may also like: Describing, Exploring, and Comparing Data Lecture (Elementary Statistics Module) Introduction to Statistics (Elementary Statistics Module)

Describing, Exploring, and Comparing Data Lecture (Elementary Statistics Module) This is a lecture which is covered during Elementary Statistics Module with students who just started to learn Statistics. With the help of this lecture you will be able to explain your students how to describe, explore as well as compare data which might be received with any data collection method! Agenda of Introduction to Statistics Lecture is as following: Measures of Center • Develop the ability to measure the center of data by finding the mean, median, mode, and midrange. • Determine whether an outlier has a substantial effect on the mean and median. Measures of Variation • Develop the ability to measure variation in a set of sample data by finding values of the range, variance, and standard deviation. • Develop the ability to interpret values of the standard deviation by applying the range rule of thumb to determine whether a particular value is significantly low or significantly high. Measures of Relative Standing and Boxplots • Develop the ability to compute a z score and use the result to determine whether a given value x is significantly low or significantly high. • Identify percentile values and quartile values from a set of data. • Develop the ability to construct a boxplot from a set of data. By purchasing this teaching resources, you will get: Describing, Exploring, and Comparing Data lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Describing, Exploring, and Comparing Data. Test bank to Describing, Exploring, and Comparing Data with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store! You may also like: Introduction to Statistics (Elementary Statistics Module) Exploring Data with Tables and Graphs Lecture (Elementary Statistics Module)

Exploring Data with Tables and Graphs Lecture (Elementary Statistics Module) This lecture provides tools that enable us to gain insight into data by organizing, summarizing, and representing them in ways that enable us to see important characteristics of the data. Agenda of Introduction to Statistics Lecture is as following: Frequency Distributions for Organizing and Summarizing Data • Develop an ability to summarize data in the format of a frequency distribution and a relative frequency distribution. • For a frequency distribution, identify values of class width, class midpoint, class limits, and class boundaries. Histograms • Develop the ability to picture the distribution of data in the format of a histogram or relative frequency histogram. • Examine a histogram and identify common distributions, including a uniform distribution and a normal distribution. Graphs That Enlighten and Graphs That Deceive • Develop an ability to graph data using a dotplot, stemplot, time-series graph, Pareto chart, pie chart, and frequency polygon. • Determine when a graph is deceptive through the use of a nonzero axis or a pictograph that uses an object of area or volume for one-dimensional data. Scatterplots Correlation and Regression • Develop an ability to construct a scatterplot of paired data. • Analyze a scatterplot to determine whether there appears to be a correlation between two variables. By purchasing this teaching resources, you will get: Exploring Data with Tables and Graphs lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Exploring Data with Tables and Graphs. Test bank to Exploring Data with Tables and Graphs with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store! You may also like: Introduction to Statistics (Elementary Statistics Module)

Introduction to Statistics lecture is part of the Elementary Statistics Module. With the help of this lecture you will be able to introduce the basics of statistics to your students. Agenda of Introduction to Statistics Lecture is as following: 1-1 Statistical and Critical Thinking 1-2 Types of Data 1-3 Collecting Sample Data By purchasing this teaching resources, you will get: Introduction to Statistics lecture Power Point Presentation File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Introduction to Statistics. Test bank to Introduction to Statistics with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them) Please Write comments as well as subscribe to our store!